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An exploratory study to collect data to build artificial intelligence derived algorithms for estimating iron status in African children
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This is an exploratory, observational, pilot study that aims to build and measure the accuracy of an algorithm that estimates a child's iron status using images and/or videos, against standard venous blood sampling. Images and/or videos will be collected by healthcare professionals, together with blood test results. This data will be used to evaluate the accuracy of the algorithm and to explore potential improvements. Data on the acceptance and experience of the using the algorithm will be collected for improvements.
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126 participants in 1 patient group
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Muhammad Nabeel Digital Health Study Manager, BSc
Data sourced from clinicaltrials.gov
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